IEEE VIS 2014 http://ieeevis.org Paris, France JOIN US on Sunday NOVEMBER 9 for papers, demos, and lively discussions! The agenda of the Visualizing Electronic Health Record Data workshop has been posted: http://www.cs.umd.edu/hcil/parisehrvis ----------------------------------------------------------------------- Visualizing Electronic Health Record Data (Workshop) ----------------------------------------------------------------------- A workshop of the IEEE VIS 2014 Conference Catherine Plaisant, Silvia Miksch, Theresia Gschwandtner, Sana Malik Electronic Health Record (EHR) databases contain millions of patient records including events such as diagnoses, test results, or medication prescriptions. These records are an invaluable data source for clinical research and improvement of clinical quality, as they provide longitudinal health information about patient populations. The use of EHR databases could be dramatically improved if easy-to-use interfaces allowed clinical researchers and quality improvement analysts to explore complex patterns in order to build and test hypotheses regarding the benefits, risks, and appropriateness of treatments or medication regimens. See http://www.cs.umd.edu/hcil/parisehrvis for more details -- Liz -- G. Elisabeta Marai Associate Professor of Computer Science (adj) Electronic Visualization Lab University of Illinois at Chicago http://visualizlab.org/people/marai Currently on sabbatical at: Robotics Institute School of Computer Science Carnegie Mellon University